Growth Signatures of Rosette Plants from Time-Lapse Video

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Finely-grained annotated datasets for image-based plant phenotyping (2016, background): “Quantitatively, they can be detected by multiple local hypothesis testing to identify structural breaks on the growth parameters (Dellen et al., 2015).”
Image Analysis: The New Bottleneck in Plant Phenotyping [Applications Corner] (2015, background): “For simple plant architectures, e.g., young tobacco with up to eight leaves, leaf-wise tracking in temporally sufficiently highresolved data sets has been demonstrated [10].”
segmentation in plant phenotyping: a collation study. Machine Vision and Applications (2017, background): “Dellen et al. [18] use temporal information in a graph based formulation to segment and track leaves in a high spatial and temporal resolution sequence of tobacco plants.”
Leaf segmentation in plant phenotyping: a collation study (2015, background): “[18] use temporal information in a graph based formulation to segment and track leaves in a high spatial and temporal resolution sequence of tobacco plants.”